| { | |
| "best_metric": 0.7027027027027026, | |
| "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/mbert/mbert-base-finetuned-masakhaner-luo/checkpoint-1000", | |
| "epoch": 95.23809523809524, | |
| "global_step": 2000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 9.52, | |
| "eval_accuracy_score": 0.9252045188936502, | |
| "eval_f1": 0.6073298429319371, | |
| "eval_loss": 0.4060324430465698, | |
| "eval_precision": 0.6270270270270271, | |
| "eval_recall": 0.5888324873096447, | |
| "eval_runtime": 1.2904, | |
| "eval_samples_per_second": 71.298, | |
| "eval_steps_per_second": 9.3, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 19.05, | |
| "eval_accuracy_score": 0.9349435138293728, | |
| "eval_f1": 0.6757493188010899, | |
| "eval_loss": 0.47699496150016785, | |
| "eval_precision": 0.7294117647058823, | |
| "eval_recall": 0.6294416243654822, | |
| "eval_runtime": 1.2894, | |
| "eval_samples_per_second": 71.351, | |
| "eval_steps_per_second": 9.307, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 23.81, | |
| "learning_rate": 4.865771812080537e-05, | |
| "loss": 0.1354, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 28.57, | |
| "eval_accuracy_score": 0.9287105570705103, | |
| "eval_f1": 0.6315789473684211, | |
| "eval_loss": 0.4870217740535736, | |
| "eval_precision": 0.6557377049180327, | |
| "eval_recall": 0.6091370558375635, | |
| "eval_runtime": 1.2888, | |
| "eval_samples_per_second": 71.385, | |
| "eval_steps_per_second": 9.311, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 38.1, | |
| "eval_accuracy_score": 0.9291001168679393, | |
| "eval_f1": 0.6631853785900784, | |
| "eval_loss": 0.5066892504692078, | |
| "eval_precision": 0.6827956989247311, | |
| "eval_recall": 0.6446700507614214, | |
| "eval_runtime": 1.2903, | |
| "eval_samples_per_second": 71.303, | |
| "eval_steps_per_second": 9.3, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 47.62, | |
| "learning_rate": 4.697986577181208e-05, | |
| "loss": 0.0036, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 47.62, | |
| "eval_accuracy_score": 0.9368913128165174, | |
| "eval_f1": 0.7027027027027026, | |
| "eval_loss": 0.5251720547676086, | |
| "eval_precision": 0.7514450867052023, | |
| "eval_recall": 0.6598984771573604, | |
| "eval_runtime": 1.2868, | |
| "eval_samples_per_second": 71.496, | |
| "eval_steps_per_second": 9.326, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 57.14, | |
| "eval_accuracy_score": 0.9333852746396571, | |
| "eval_f1": 0.6702997275204359, | |
| "eval_loss": 0.49117618799209595, | |
| "eval_precision": 0.7235294117647059, | |
| "eval_recall": 0.6243654822335025, | |
| "eval_runtime": 1.2889, | |
| "eval_samples_per_second": 71.38, | |
| "eval_steps_per_second": 9.31, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 66.67, | |
| "eval_accuracy_score": 0.925983638488508, | |
| "eval_f1": 0.6702412868632708, | |
| "eval_loss": 0.5857591032981873, | |
| "eval_precision": 0.7102272727272727, | |
| "eval_recall": 0.6345177664974619, | |
| "eval_runtime": 1.2888, | |
| "eval_samples_per_second": 71.384, | |
| "eval_steps_per_second": 9.311, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 71.43, | |
| "learning_rate": 4.530201342281879e-05, | |
| "loss": 0.0041, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 76.19, | |
| "eval_accuracy_score": 0.9306583560576549, | |
| "eval_f1": 0.6776859504132232, | |
| "eval_loss": 0.5567479729652405, | |
| "eval_precision": 0.7409638554216867, | |
| "eval_recall": 0.6243654822335025, | |
| "eval_runtime": 1.2907, | |
| "eval_samples_per_second": 71.28, | |
| "eval_steps_per_second": 9.297, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 85.71, | |
| "eval_accuracy_score": 0.9306583560576549, | |
| "eval_f1": 0.6614987080103358, | |
| "eval_loss": 0.5476430654525757, | |
| "eval_precision": 0.6736842105263158, | |
| "eval_recall": 0.649746192893401, | |
| "eval_runtime": 1.2879, | |
| "eval_samples_per_second": 71.432, | |
| "eval_steps_per_second": 9.317, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 95.24, | |
| "learning_rate": 4.36241610738255e-05, | |
| "loss": 0.002, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 95.24, | |
| "eval_accuracy_score": 0.9326061550447994, | |
| "eval_f1": 0.6772486772486772, | |
| "eval_loss": 0.5742465257644653, | |
| "eval_precision": 0.7071823204419889, | |
| "eval_recall": 0.649746192893401, | |
| "eval_runtime": 1.2841, | |
| "eval_samples_per_second": 71.646, | |
| "eval_steps_per_second": 9.345, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 95.24, | |
| "step": 2000, | |
| "total_flos": 8014478705879040.0, | |
| "train_loss": 0.03629368221759796, | |
| "train_runtime": 2156.3708, | |
| "train_samples_per_second": 222.596, | |
| "train_steps_per_second": 6.956 | |
| } | |
| ], | |
| "max_steps": 15000, | |
| "num_train_epochs": 715, | |
| "total_flos": 8014478705879040.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |